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Hands-on experience with analytics and big data technologies within Microsoft Azure, with experiences in tools such as Azure Data Factory, Azure Machine Learning, Azure Cognitive Services, Azure Databricks and Azure Synapse Analytics.
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Progressive career experience as a software developer, data engineer, analytics engineer, or ML engineer. Solid computer science foundation including data structures, algorithms, and design patterns, with a proven track record of software design and architecture.
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Continuously improve knowledge and abilities in the areas of software and data engineering, statistical learning, and machine learning. This role will architect, implement, maintain, and enhance data solutions (data warehouse, ETL processes, custom-built software, web applications) that help create business strategies, help create new revenue streams, improve hockey and soccer operations, and help elevate athlete performance.
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Performs basic trial runs to check accuracy of machine settings or programmed control data. The Production Machine Operator individual performs the basic set up and operates automatic machines in accordance with established shop practices.
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Manage services from Public Cloud Hyperscalers like Microsoft Azure, Amazon AWS, Oracle OCI, Google GCP, and Alibaba Cloud on services like Cloud Compute, Storage Services, Data Services, DevOps, CI/CD, MicroServices, Service Mesh, Containerization, Artificial Intelligence, Machine Learning platforms and End-to-End Observability.
$185,000 - $205,000 a yearFull-timeExpandApply NowActive JobUpdated 3 days ago - UpvoteDownvoteShare Job
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Experience with one or more of the following: Machine Learning, Deep Learning, NLP, ranking systems, recommendation systems, backend, large-scale systems, data science, full-stack.
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In Support Product we build highly available and scalable, Machine Learning driven products that integrate with the broader Cash App ecosystem to help customers solve their problems. The team currently consists of server engineers, designers, and product management, machine learning modelers and applied machine learning engineers located in Australia and the United States.
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We develop cutting edge sensors and mission systems, high bandwidth communication systems, large-scale simulation systems, space and satellite systems, avionics virtual machines as part of high fidelity digital twins that will improve the future of software development, airplane and flight controls, cyber security solutions, artificial intelligence, machine learning, and much more.
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Net, C#, Qlik, Power BI, Machine Learning, Azure Data Factory, RedShift, UiPath, Cloud, RPA, AWS, Redshift, Kinesis, QuickSight, SageMaker, S3, Databricks, AWS Lake Formation, Snowflake, Python, Qlik, Athena, Data Pipeline, Glue, Star Schema, Data Modeling, Performance Tuning, SQL Individual salaries that are offered to a candidate are determined after consideration of numerous factors including but not limited to the candidate’s qualifications, experience, skills, and geography.
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This role will implement, maintain, and enhance data solutions (data warehouse, ETL processes, custom-built software, web applications) that help create business strategies, help create new revenue streams, improve soccer operations, and help elevate athlete performance.
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By posting jobs on LinkedIn Talent, Burke, Williams & Sorensen, LLP does not automatically authorize search firms or other third parties to directly solicit candidates on the firm’s behalf. Search firms must have prior approval and a written agreement in place before submitting resumes.
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Proficiency in programming languages such as R, Python, and SQL, with experience in data analysis and machine learning tools like PyTorch, Pandas, scikit-learn, Tensorflow, or similar.
$115,830 - $129,279 a yearFull-timeExpandApply NowActive JobUpdated 4 days ago - UpvoteDownvoteShare Job
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Media Asset Management/Digital Asset Management (MAM/DAM): Enter data in project tracking software, oversee the organization and management of all digital and media assets, ensuring files are accurately cataloged, easily retrievable, and securely stored for efficient post-production workflow.
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Working understanding of enforcement of compliancy requirements and being able to supply audit data. Strong technical understanding of public/private cloud platforms and services (Azure, GCP, AWS, Alibaba or Private Cloud Tech.
$185,000 - $203,700 a yearFull-timeExpandApply NowActive JobUpdated 9 days ago - UpvoteDownvoteShare Job
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Incorporate machine learning, statistical modeling, visualization and analytics tools and data sources into the development of processes and techniques to use data effectively and efficiently.
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